balaji prabhakar departments of ee and cs stanford university joint work with: deepak merugu, naini...

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Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama and many, many other Infoscions It pays to do the right thing: Incentive mechanisms for decongesting the road

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Page 1: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

High PerformanceSwitching and RoutingTelecom Center Workshop: Sept 4, 1997.

Balaji PrabhakarDepartments of EE and CS

Stanford University

Joint work with:

Deepak Merugu, Naini Gomes, Gajanana KrishnaStanford University

N.S. Rama and many, many other Infoscions

It pays to do the right thing:Incentive mechanisms for decongesting the road

Page 2: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

• Fuel and time costs in 2005, US-wide

A. $ 8 million

B. $ 80 million

C. $ 8 billion

D. $ 80 billion

Cost of congestion

• US auto bailout: $ 25 billion• Stimulus package for Wall Street: $ 700 billion

Page 3: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

• Fuel wasted in urban U.S. in 2005

A. 3 million gallons

B. 30 million gallons

C. 3 billion gallons

D. 30 billion gallons

Fuel cost

• Equal to fuel consumed in all of the U.S. in 6 days !– 2006 data

Page 4: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

• Congestion occurs when many agents simultaneously use a scarce resource; it is a standard feature of networked resources– Transportation Networks, Electric Networks, Computer Networks, Telephone

Networks, …

• Various methods have been developed for coping with congestion, usually tailored to the situation– Carpools, traffic-sensitive signal lights, tolls– Differential pricing for peak and off-peak use– Congestion control algorithms like TCP in the Internet– Congestion control standard for Data Center Ethernet: IEEE 802.1

• These methods usually address congestion, once it has occurred

• Incentive mechanisms, the topic of this talk, can postpone or even prevent the occurrence of congestion

Congestion management:Background

Page 5: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

• Current methods: Charge drivers who enter “congested zone” – E.g. London, Singapore, Stockholm

• Our proposal: Charge congestors, pay decongestors – Deploy incrementally, no need for every one to start on day one

Congestion pricing

Page 6: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

• “The right to congest" can be made into a tradable commodity– Those who use the roads at congested times pay those who stay away during such

times – This is incentive compatible: The congestor benefits from the reduced congestion;

the decongestor is appropriately compensated

Main Thesis

Load

Delay

0 1

Page 7: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

• Small good deeds don’t carry adequate rewards, so they aren’t performed– A system, which pools individual rewards, but pays out a few large sums through

raffles may carry adequate incentives

• In games with low stakes, players are more risk seeking

Auxiliary Thesis

Page 8: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

• The INSTANT (Infosys-Stanford Traffic) project is a pilot study of using an incentive mechanism to decongest road traffic– The goal is to incentivize Infoscions to commute at uncongested times to and from work– This leads to shorter commute times, reduced congestion, lower fuel costs and pollution

The INSTANT project

Page 9: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

• The INSTANT project– Launched by N.R. Narayanamurthy, co-Founder and Chief Mentor of

Infosys on Oct 6, 2008 at Infosys, Bangalore– The program ran for 27 weeks and ended on April 10, 2009– Pays commuters money through a raffle mechanism for coming early

• 14,000 commuters eligible for the scheme• Results show that number of early comers has nearly doubled• About 1900 employees have been rewarded over the 6 months• The average prize money per winner is about Rs. 1400 ( or $28)• If the prize money was collected from everyone, the share per person is Rs. 7 (14 cents) per week.

The INSTANT project: Synopsis

Page 10: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

INSTANT: Bus Data

Page 11: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

• 120 starting points, 4 major routes• 240 buses• Commute data from January 2006 to June 2008

– Morning data presented (evening data available, similar patterns: leaving early saves a lot of commute time)

– Pick up, drop off times; bus occupancies

Bus #

Pick-up

TimeDrop Time Pick-up Point Cap A B C

54 700 732 JAYA NAGAR 4TH BLOCK /18TH MAIN 49 61 12

56 650 738 NANDIGARDEN / R.V.DENTAL COLLEGE 49 45 4

57 700 752 JAMBUSAVARIDINNE/R.V.DENTAL 49 38 11

60 700 745 GOTTEGERI / B.G.PARKING LOT 49 28 21

A - OccupancyB - StandingC - Empty Seats

Format of data

Page 12: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

Monthly average numbers of commuters

Page 13: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

Buses deployed to service demand

Page 14: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

Bus occupancy: Early vs lateJune 2008; Bus capacity = 49

Over capacity

Page 15: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

Journey times from Jayanagar

Page 16: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

Adarsh Garden Minerva Circle

Other journey times

Page 17: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

• LONG TIME, NO SEAT!

• There is a huge difference in commute times – A 7.15am bus into Infy is at least 30 mins quicker than an 8.15am bus– Similarly, a 5pm bus from Infy is at least 30 mins quicker than a 6.15 or 7.15pm bus

• Most Infoscions can benefit by coming in early and leaving early; the benefits are manifold:

– Shorter commutes by at least 1 hour– More comfortable rides (i.e. empty seats)– Savings in fuel costs (about Rs. 20,000 per day)

Summary of bus data analysis

• In addition to the above, we propose a monetary incentive mechanism to help transition to earlier commute times!

Page 18: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

Commuter’s working day

begins

Commuter’s working day

begins

Arrival (swipe-in)

time

Arrival (swipe-in)

time

Arrival after 8.30 AM Arrival before 8.00 AM

No creditNo creditEarn 1.5 creditsEarn 1.5 credits

Incentive mechanismIncentive mechanism

Rewards givenweekly

Rewards givenweekly

The incentive mechanism At a Glance

Earn 1 creditEarn 1 credit

Arrival between8.00 – 8.30 AM

Page 19: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

No. of rewards x Amount of reward (credits needed)

The reward pyramid•Total sum of money = 96,000•Total number of rewards = 66

Page 20: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

2 x 12,000 (20)

4 x 6,000 (12)

12 x 2,000 (7)

48 x 500 (3)

An illustration

14 x 2,000 (7)

52 x 500 (3)

Page 21: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

Results

Page 22: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

Commuter arrivals

Pilot launched Buses rescheduled Pilot ended

Page 23: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

Percentage of commuter arrivals

Pilot launched Buses rescheduled Pilot ended

Page 24: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

Average morning bus commute time(and total person-hrs saved)

2000 p-hrs

1400 p-hrs

2300 p-hrs

100 person-hrs

500 p-hrs600 p-hrs

2600 p-hrs

2400 p-hrs2200 p-hrs

2000 p-hrs

Pilot launched Buses rescheduled Pilot ended

Page 25: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

Adjustments to the bus schedule

Page 26: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

• The INSTANT project advances a strong argument in favor of rewarding decongestors (and charging congestors)

– In addition to time and fuel savings, it led to the reduction of the Infosys fleet by 8 buses

• Next steps– Parking and Transportation Services (P&TS), Stanford University

Summary and next steps

Page 27: Balaji Prabhakar Departments of EE and CS Stanford University Joint work with: Deepak Merugu, Naini Gomes, Gajanana Krishna Stanford University N.S. Rama

• Parking at Stanford: Reduce peak hour trips

At Stanford